A Discrete-Time Recurrent Neural Network with One Neuron for k-Winners-Take-All Operation

Authors:
Qingshan Liu;Jinde Cao;Jinling Liang
Affiliations:
School of Automation, Southeast University, Nanjing, China 210096;Department of Mathematics, Southeast University, Nanjing, China 210096;Department of Mathematics, Southeast University, Nanjing, China 210096
Venue:
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Year:
2009

Citing 6
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Abstract

In this paper, a discrete-time recurrent neural network with one neuron and global convergence is proposed for k -winners-take-all (k WTA) operation. Comparing with the existing k WTA networks, the proposed network has simpler structure with only one neuron. The global convergence of the network can be guaranteed for k WTA operation. Simulation results are provided to show that the outputs vector of the network is globally convergent to the solution of the k WTA operation.